2826 search results - page 100 / 566 » Maximal Vector Computation in Large Data Sets |
140
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KDD
2001
ACM
16 years 4 months ago
2001
ACM
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
126
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
127
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CSDA
2007
15 years 4 months ago
2007
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
180
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DASFAA
2010
IEEE
15 years 8 months ago
2010
IEEE
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
137
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NPL
2006
15 years 4 months ago
2006
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...